The comparison with other work is shown in Table REF . Our best model beats the best performing model, AT-CNN10 [1]}, on all metrics except the METEOR and SPICE metric. In addition to being self-supervised and simple to train, our approach makes use of publicly available pretrained models, while AT-CNN10 involves a two stage transfer learning process trained from scratch. We have also included some examples of our generated sequences at Table REF .
